如何使用 subprocess.run() 运行 Hive 查询？

Question

所以我尝试使用subprocess 模块执行配置单元查询，并将输出保存到文件data.txt 以及日志中（到log.txt），但我似乎有点的麻烦。我看过this gist 和this SO question，但似乎都没有给我我需要的东西。

这是我正在运行的：

import subprocess
query = "select user, sum(revenue) as revenue from my_table where user = 'dave' group by user;"
outfile = "data.txt"
logfile = "log.txt"

log_buff = open("log.txt", "a")
data_buff = open("data.txt", "w")

# note - "hive -e [query]" would normally just print all the results 
# to the console after finishing
proc = subprocess.run(["hive" , "-e" '"{}"'.format(query)],
                    stdin=subprocess.PIPE,
                    stdout=data_buff,
                    stderr=log_buff,
                    shell=True)

log_buff.close()
data_buff.close()

我还研究了this SO question regarding subprocess.run() vs subprocess.Popen，我相信我想要.run()，因为我希望进程一直阻塞直到完成。

最终的输出应该是一个文件data.txt，其中包含以制表符分隔的查询结果，log.txt 包含 hive 作业生成的所有日志记录。任何帮助都会很棒。

更新：

通过上述处理方式，我目前得到以下输出：

log.txt

[ralston@tpsci-gw01-vm tmp]$ cat log.txt
Java HotSpot(TM) 64-Bit Server VM warning: Using the ParNew young collector with the Serial old collector is deprecated and will likely be removed in a future release
Java HotSpot(TM) 64-Bit Server VM warning: Using the ParNew young collector with the Serial old collector is deprecated and will likely be removed in a future release
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/home/y/share/hadoop-2.8.3.0.1802131730/share/hadoop/common/lib/slf4j-log4j12-1.7.10.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/home/y/libexec/tez/lib/slf4j-log4j12-1.7.10.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]

Logging initialized using configuration in file:/home/y/libexec/hive/conf/hive-log4j.properties

数据.txt

[ralston@tpsci-gw01-vm tmp]$ cat data.txt
hive> [ralston@tpsci-gw01-vm tmp]$

我可以验证 java/hive 进程确实运行了：

[ralston@tpsci-gw01-vm tmp]$ ps -u ralston
  PID TTY          TIME CMD
14096 pts/0    00:00:00 hive
14141 pts/0    00:00:07 java
14259 pts/0    00:00:00 ps
16275 ?        00:00:00 sshd
16276 pts/0    00:00:00 bash

但它似乎没有完成，也没有记录我想要的所有内容。

Answer 1

所以我设法通过以下设置来实现这一点：

import subprocess
query = "select user, sum(revenue) as revenue from my_table where user = 'dave' group by user;"
outfile = "data.txt"
logfile = "log.txt"

log_buff = open("log.txt", "a")
data_buff = open("data.txt", "w")
# Remove shell=True from proc, and add "> outfile.txt" to the command
proc = subprocess.Popen(["hive" , "-e", '"{}"'.format(query), ">", "{}".format(outfile)],
                    stdin=subprocess.PIPE,
                    stdout=data_buff,
                    stderr=log_buff)
# keep track of job runtime and set limit
start, elapsed, finished, limit  = time.time(), 0, False, 60
while not finished:
    try:
        outs, errs = proc.communicate(timeout=10)
        print("job finished")
        finished = True
    except subprocess.TimeoutExpired:
        elapsed = abs(time.time() - start) / 60. 
        if elapsed >= 60:
            print("Job took over 60 mins")
            break 
        print("Comm timed out. Continuing")
        continue

print("done")

log_buff.close()
data_buff.close()

根据需要生成输出。我知道process.communicate()，但以前没有用。我相信这个问题与没有将带有> ${outfile} 的输出文件添加到 hive 查询有关。

随意添加任何细节。我从来没有见过有人必须循环 proc.communicate() 所以我怀疑我可能做错了什么。